In the RQ, we first compare our proposed method DeepSCC with two state-of-the-art methods from source code classification (i.e., Random Forest and XGBoost methods used in SCC++ [1]}). We also choose TextCNN [2]} and Transformer [3]} with/without pre-trained word vectors (i.e., FastText [4]} or Word2Vec [5]}) from the neural text classification field as baselines. Besides, we also select BERT [6]} as a baseline for the pre-trained model.
